Model-based approaches for interoperability of next generation enterprise information systems: state of the art and future challenges

Abstract

Enterprise businesses are more than ever challenged by competitors that frequently refine and tailor their offers to clients. In this context, enterprise information systems (EIS) are especially important because: (1) they remain one of the last levers to increase the performance and competitiveness of the enterprise, (2) we operate in a business world where the product itself has reached a limit of performance and quality due to uniform capacity of industrial tools in a globalized economy and (3) the EIS can increase the product value thanks to additional digital services (built on data associated to the product) in order to meet and fit better client's needs. However, the use of EISs reaches a limit in collaborative environments because enterprises management methods diverge and EISs are mainly inflexible resource packages that are not built with an interoperability objective. Consequently, we need to make EISs interoperable in order to achieve the needed gains competitiveness and performance. This paper contribution can be summarized as follows: (1) it relates existing work and it examines barriers that, at the moment, are preventing further improvements due to current methodological and technological limits, and (2) it proposes a conceptual framework and five challenges that model based approaches must overcome to achieve interoperability between EIS in the near and long term.

Ocean FAIR Data Services

“…This will build on standards and methods already in place and evolving for service-to-service interoperability. We must now consider how to ensure that data and application code (e.g., model code) developed on different platforms can be effectively integrated (e.g., Zacharewicz et al, 2017;Chang and Reinsch, 2018). Interoperability between the different elements of the Earth data management system is becoming a necessity driven by research and operational user requirements, and this will continue to evolve as cloud and VREs become more prominent and numerous.…”

A Comprehensive Review of Practical Issues for Interoperability Using the Common Information Model in Smart Grids

“…In order to achieve a high level of interoperability for a model-based system, it is necessary to identify challenges that should be overcome in each domain [13]. Zacharewicz et al [14] classify the challenges into several categories and introduce research and technical limitations to solve them.…”

Decentralized decision support for intelligent manufacturing in Industry 4.0

“…This sustainability convenes the needs of the present without compromising the ability of future changes, meeting new system requirements [22]. Integration and interoperability is acknowledged with many researchers working in related domains, such as the digital and sensing enterprise [24], smart networks [25], or digital business innovation and big data [26] In many cases, model driven and knowledge-based technology is being promoted [27], however they are rarely applied together and there is little concern on the company network sustainability, currently addressing interoperability only at the network design time. Jardim-Gonçalves et al [28] define sustainable interoperability as the development of novel strategies, methods and tools to maintain and sustain the interoperability of enterprise systems in networked environments as they inevitably evolve with their environments.…”